Profiling Report of new_P39-Financial-Data.csv

Dataset statistics

Number of variables	15
Number of observations	17908
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.0 MiB
Average record size in memory	120.0 B

Variable types

Numeric	11
Categorical	4

Alerts

`avg_risk_score` has unique values	Unique
`years_employed` has 694 (3.9%) zeros	Zeros
`current_address_year` has 1486 (8.3%) zeros	Zeros

Reproduction

Analysis started	2023-11-08 04:27:50.106514
Analysis finished	2023-11-08 04:28:09.697939
Duration	19.59 seconds
Software version	ydata-profiling vv4.6.1
Download configuration	config.json

entry_id
Real number (ℝ)

Distinct	17888
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5596977.6

Minimum	1111398
Maximum	9999874
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	140.0 KiB

Quantile statistics

Minimum	1111398
5-th percentile	1571268.4
Q1	3378998.8
median	5608376
Q3	7805624.2
95-th percentile	9563219.1
Maximum	9999874
Range	8888476
Interquartile range (IQR)	4426625.5

Descriptive statistics

Standard deviation	2562472.8
Coefficient of variation (CV)	0.45783152
Kurtosis	-1.2008191
Mean	5596977.6
Median Absolute Deviation (MAD)	2214168.5
Skewness	-0.015730158
Sum	1.0023068 × 10¹¹
Variance	6.5662666 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6848675	2	< 0.1%
5946902	2	< 0.1%
4455352	2	< 0.1%
6561306	2	< 0.1%
5896278	2	< 0.1%
6739041	2	< 0.1%
8156839	2	< 0.1%
3903643	2	< 0.1%
5659209	2	< 0.1%
4235576	2	< 0.1%
Other values (17878)	17888	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1111398	1	< 0.1%
1111512	1	< 0.1%
1111600	1	< 0.1%
1112315	1	< 0.1%
1112537	1	< 0.1%
1112907	1	< 0.1%
1114070	1	< 0.1%
1114089	1	< 0.1%
1114268	1	< 0.1%
1114275	1	< 0.1%

Value	Count	Frequency (%)
9999874	1	< 0.1%
9999421	1	< 0.1%
9998678	1	< 0.1%
9997871	1	< 0.1%
9997796	1	< 0.1%
9997128	1	< 0.1%
9997079	1	< 0.1%
9995957	1	< 0.1%
9995338	1	< 0.1%
9995118	1	< 0.1%

age
Real number (ℝ)

Distinct	72
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.015412

Minimum	18
Maximum	96
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	140.0 KiB

Quantile statistics

Minimum	18
5-th percentile	25
Q1	34
median	42
Q3	51
95-th percentile	63
Maximum	96
Range	78
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	11.873107
Coefficient of variation (CV)	0.27601983
Kurtosis	-0.36032326
Mean	43.015412
Median Absolute Deviation (MAD)	9
Skewness	0.31648274
Sum	770320
Variance	140.97067
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37	570	3.2%
43	559	3.1%
38	547	3.1%
39	546	3.0%
44	543	3.0%
34	531	3.0%
42	522	2.9%
40	520	2.9%
45	515	2.9%
46	513	2.9%
Other values (62)	12542	70.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	31	0.2%
19	47	0.3%
20	73	0.4%
21	77	0.4%
22	143	0.8%
23	185	1.0%
24	225	1.3%
25	241	1.3%
26	291	1.6%
27	335	1.9%

Value	Count	Frequency (%)
96	1	< 0.1%
89	1	< 0.1%
87	1	< 0.1%
86	3	< 0.1%
85	3	< 0.1%
84	6	< 0.1%
83	2	< 0.1%
82	4	< 0.1%
81	3	< 0.1%
80	14	0.1%

monthly_income
Real number (ℝ)

Distinct	2284
Distinct (%)	12.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3657.2147

Minimum	905
Maximum	9985
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	140.0 KiB

Quantile statistics

Minimum	905
5-th percentile	1705
Q1	2580
median	3260
Q3	4670
95-th percentile	6585
Maximum	9985
Range	9080
Interquartile range (IQR)	2090

Descriptive statistics

Standard deviation	1504.8901
Coefficient of variation (CV)	0.4114853
Kurtosis	0.86031309
Mean	3657.2147
Median Absolute Deviation (MAD)	917.5
Skewness	0.97023786
Sum	65493400
Variance	2264694.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3270	62	0.3%
3255	61	0.3%
3055	60	0.3%
3210	58	0.3%
3265	58	0.3%
3145	57	0.3%
3090	56	0.3%
3165	56	0.3%
3260	55	0.3%
3135	54	0.3%
Other values (2274)	17331	96.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
905	1	< 0.1%
1015	2	< 0.1%
1030	1	< 0.1%
1055	3	< 0.1%
1090	1	< 0.1%
1095	1	< 0.1%
1130	1	< 0.1%
1140	1	< 0.1%
1145	1	< 0.1%
1150	1	< 0.1%

Value	Count	Frequency (%)
9985	1	< 0.1%
9970	1	< 0.1%
9925	1	< 0.1%
9915	1	< 0.1%
9885	1	< 0.1%
9870	1	< 0.1%
9834	1	< 0.1%
9813	1	< 0.1%
9755	1	< 0.1%
9660	1	< 0.1%

years_employed
Real number (ℝ)

ZEROS

Distinct	17
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.5268595

Minimum	0
Maximum	16
Zeros	694
Zeros (%)	3.9%
Negative	0
Negative (%)	0.0%
Memory size	140.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	5
95-th percentile	8
Maximum	16
Range	16
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.2597317
Coefficient of variation (CV)	0.64072065
Kurtosis	0.87386687
Mean	3.5268595
Median Absolute Deviation (MAD)	1
Skewness	0.91271748
Sum	63159
Variance	5.1063875
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
2	3856	21.5%
3	3526	19.7%
1	2420	13.5%
6	1990	11.1%
5	1956	10.9%
4	1919	10.7%
0	694	3.9%
7	589	3.3%
9	376	2.1%
10	287	1.6%
Other values (7)	295	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	694	3.9%
1	2420	13.5%
2	3856	21.5%
3	3526	19.7%
4	1919	10.7%
5	1956	10.9%
6	1990	11.1%
7	589	3.3%
8	216	1.2%
9	376	2.1%

Value	Count	Frequency (%)
16	2	< 0.1%
15	5	< 0.1%
14	6	< 0.1%
13	9	0.1%
12	13	0.1%
11	44	0.2%
10	287	1.6%
9	376	2.1%
8	216	1.2%
7	589	3.3%

current_address_year
Real number (ℝ)

ZEROS

Distinct	13
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.5847107

Minimum	0
Maximum	12
Zeros	1486
Zeros (%)	8.3%
Negative	0
Negative (%)	0.0%
Memory size	140.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	5
95-th percentile	9
Maximum	12
Range	12
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.7519367
Coefficient of variation (CV)	0.76768723
Kurtosis	0.040406004
Mean	3.5847107
Median Absolute Deviation (MAD)	2
Skewness	0.90347597
Sum	64195
Variance	7.5731554
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
2	3628	20.3%
1	2772	15.5%
3	2762	15.4%
4	1994	11.1%
0	1486	8.3%
5	1286	7.2%
6	1182	6.6%
9	692	3.9%
8	652	3.6%
7	617	3.4%
Other values (3)	837	4.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1486	8.3%
1	2772	15.5%
2	3628	20.3%
3	2762	15.4%
4	1994	11.1%
5	1286	7.2%
6	1182	6.6%
7	617	3.4%
8	652	3.6%
9	692	3.9%

Value	Count	Frequency (%)
12	11	0.1%
11	228	1.3%
10	598	3.3%
9	692	3.9%
8	652	3.6%
7	617	3.4%
6	1182	6.6%
5	1286	7.2%
4	1994	11.1%
3	2762	15.4%

amount_requested
Real number (ℝ)

Distinct	98
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	950.44645

Minimum	350
Maximum	10200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	140.0 KiB

Quantile statistics

Minimum	350
5-th percentile	400
Q1	600
median	700
Q3	1100
95-th percentile	2600
Maximum	10200
Range	9850
Interquartile range (IQR)	500

Descriptive statistics

Standard deviation	698.54368
Coefficient of variation (CV)	0.73496375
Kurtosis	24.574112
Mean	950.44645
Median Absolute Deviation (MAD)	200
Skewness	3.5995791
Sum	17020595
Variance	487963.28
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
600	2503	14.0%
700	2317	12.9%
400	2252	12.6%
800	1715	9.6%
900	1466	8.2%
500	1357	7.6%
1100	1094	6.1%
1200	896	5.0%
1000	477	2.7%
550	244	1.4%
Other values (88)	3587	20.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
350	46	0.3%
375	1	< 0.1%
400	2252	12.6%
401	13	0.1%
425	10	0.1%
450	224	1.3%
475	3	< 0.1%
500	1357	7.6%
501	14	0.1%
525	8	< 0.1%

Value	Count	Frequency (%)
10200	1	< 0.1%
10100	4	< 0.1%
9900	3	< 0.1%
9800	3	< 0.1%
8300	1	< 0.1%
7900	1	< 0.1%
7800	1	< 0.1%
6300	1	< 0.1%
5800	1	< 0.1%
5200	20	0.1%

risk_score
Real number (ℝ)

Distinct	1411
Distinct (%)	7.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	61086.302

Minimum	2100
Maximum	99750
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	140.0 KiB

Quantile statistics

Minimum	2100
5-th percentile	35450
Q1	49350
median	61200
Q3	72750
95-th percentile	85700
Maximum	99750
Range	97650
Interquartile range (IQR)	23400

Descriptive statistics

Standard deviation	15394.255
Coefficient of variation (CV)	0.2520083
Kurtosis	-0.67746693
Mean	61086.302
Median Absolute Deviation (MAD)	11700
Skewness	-0.022398347
Sum	1.0939335 × 10⁹
Variance	2.3698309 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60300	41	0.2%
52800	38	0.2%
62850	38	0.2%
68100	37	0.2%
72450	37	0.2%
72750	37	0.2%
49350	35	0.2%
38100	35	0.2%
60000	34	0.2%
67950	34	0.2%
Other values (1401)	17542	98.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2100	1	< 0.1%
2250	1	< 0.1%
2800	1	< 0.1%
4450	1	< 0.1%
6100	1	< 0.1%
11100	1	< 0.1%
11850	1	< 0.1%
13750	1	< 0.1%
15500	1	< 0.1%
15850	1	< 0.1%

Value	Count	Frequency (%)
99750	1	< 0.1%
99600	1	< 0.1%
99550	1	< 0.1%
99450	1	< 0.1%
99300	1	< 0.1%
99200	1	< 0.1%
99150	1	< 0.1%
99000	1	< 0.1%
98950	1	< 0.1%
98900	1	< 0.1%

inquiries_last_month
Real number (ℝ)

Distinct	30
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.4572258

Minimum	1
Maximum	30
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	140.0 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	4
median	6
Q3	8
95-th percentile	13
Maximum	30
Range	29
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.6730925
Coefficient of variation (CV)	0.56883445
Kurtosis	5.6711798
Mean	6.4572258
Median Absolute Deviation (MAD)	2
Skewness	1.916539
Sum	115636
Variance	13.491609
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
6	2918	16.3%
5	2798	15.6%
4	2351	13.1%
3	1910	10.7%
7	1796	10.0%
8	1330	7.4%
2	1254	7.0%
9	892	5.0%
10	672	3.8%
11	497	2.8%
Other values (20)	1490	8.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	7	< 0.1%
2	1254	7.0%
3	1910	10.7%
4	2351	13.1%
5	2798	15.6%
6	2918	16.3%
7	1796	10.0%
8	1330	7.4%
9	892	5.0%
10	672	3.8%

Value	Count	Frequency (%)
30	4	< 0.1%
29	5	< 0.1%
28	11	0.1%
27	17	0.1%
26	16	0.1%
25	11	0.1%
24	20	0.1%
23	17	0.1%
22	32	0.2%
21	44	0.2%

pay_schedule
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	140.0 KiB

bi-weekly	10716
weekly	3696
semi-monthly	2004
monthly	1492

Length

Max length	12
Median length	9
Mean length	8.5499218
Min length	6

Characters and Unicode

Total characters	153112
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	bi-weekly
2nd row	weekly
3rd row	weekly
4th row	bi-weekly
5th row	semi-monthly

Common Values

Value	Count	Frequency (%)
bi-weekly	10716	59.8%
weekly	3696	20.6%
semi-monthly	2004	11.2%
monthly	1492	8.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
bi-weekly	10716	59.8%
weekly	3696	20.6%
semi-monthly	2004	11.2%
monthly	1492	8.3%

Most occurring characters

Value	Count	Frequency (%)
e	30828	20.1%
l	17908	11.7%
y	17908	11.7%
w	14412	9.4%
k	14412	9.4%
i	12720	8.3%
-	12720	8.3%
b	10716	7.0%
m	5500	3.6%
o	3496	2.3%
Other values (4)	12492	8.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	140392	91.7%
Dash Punctuation	12720	8.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	30828	22.0%
l	17908	12.8%
y	17908	12.8%
w	14412	10.3%
k	14412	10.3%
i	12720	9.1%
b	10716	7.6%
m	5500	3.9%
o	3496	2.5%
n	3496	2.5%
Other values (3)	8996	6.4%

Dash Punctuation

Value	Count	Frequency (%)
-	12720	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	140392	91.7%
Common	12720	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	30828	22.0%
l	17908	12.8%
y	17908	12.8%
w	14412	10.3%
k	14412	10.3%
i	12720	9.1%
b	10716	7.6%
m	5500	3.9%
o	3496	2.5%
n	3496	2.5%
Other values (3)	8996	6.4%

Common

Value	Count	Frequency (%)
-	12720	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	153112	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	30828	20.1%
l	17908	11.7%
y	17908	11.7%
w	14412	9.4%
k	14412	9.4%
i	12720	8.3%
-	12720	8.3%
b	10716	7.0%
m	5500	3.6%
o	3496	2.3%
Other values (4)	12492	8.2%

home_owner
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	140.0 KiB

0	10294
1	7614

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	17908
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10294	57.5%
1	7614	42.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	10294	57.5%
1	7614	42.5%

Most occurring characters

Value	Count	Frequency (%)
0	10294	57.5%
1	7614	42.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17908	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10294	57.5%
1	7614	42.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	17908	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10294	57.5%
1	7614	42.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17908	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10294	57.5%
1	7614	42.5%

has_debt
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	140.0 KiB

1	14244
0	3664

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	17908
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	14244	79.5%
0	3664	20.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	14244	79.5%
0	3664	20.5%

Most occurring characters

Value	Count	Frequency (%)
1	14244	79.5%
0	3664	20.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17908	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	14244	79.5%
0	3664	20.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	17908	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	14244	79.5%
0	3664	20.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17908	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	14244	79.5%
0	3664	20.5%

personal_account_months
Real number (ℝ)

Distinct	131
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	45.467389

Minimum	0
Maximum	183
Zeros	130
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	140.0 KiB

Quantile statistics

Minimum	0
5-th percentile	15
Q1	29
median	40
Q3	54
95-th percentile	90
Maximum	183
Range	183
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	23.258829
Coefficient of variation (CV)	0.5115497
Kurtosis	1.8929996
Mean	45.467389
Median Absolute Deviation (MAD)	11
Skewness	1.1358997
Sum	814230
Variance	540.97314
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
38	1715	9.6%
50	1478	8.3%
42	939	5.2%
37	845	4.7%
26	752	4.2%
54	711	4.0%
28	668	3.7%
49	646	3.6%
27	644	3.6%
29	633	3.5%
Other values (121)	8877	49.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	130	0.7%
1	138	0.8%
2	130	0.7%
12	133	0.7%
13	128	0.7%
14	175	1.0%
15	180	1.0%
16	167	0.9%
17	143	0.8%
18	167	0.9%

Value	Count	Frequency (%)
183	1	< 0.1%
177	1	< 0.1%
174	1	< 0.1%
171	3	< 0.1%
170	1	< 0.1%
164	1	< 0.1%
163	1	< 0.1%
160	2	< 0.1%
152	2	< 0.1%
151	1	< 0.1%

avg_risk_score
Real number (ℝ)

UNIQUE

Distinct	17908
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.71763998

Minimum	0.35366144
Maximum	0.9252519
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	140.0 KiB

Quantile statistics

Minimum	0.35366144
5-th percentile	0.59937167
Q1	0.66868909
median	0.71979319
Q3	0.76909529
95-th percentile	0.82979111
Maximum	0.9252519
Range	0.57159046
Interquartile range (IQR)	0.1004062

Descriptive statistics

Standard deviation	0.070536147
Coefficient of variation (CV)	0.098289043
Kurtosis	-0.23807856
Mean	0.71763998
Median Absolute Deviation (MAD)	0.050185248
Skewness	-0.17650318
Sum	12851.497
Variance	0.004975348
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.661151188	1	< 0.1%
0.7391708393	1	< 0.1%
0.8047837	1	< 0.1%
0.6810403307	1	< 0.1%
0.721912806	1	< 0.1%
0.7412434168	1	< 0.1%
0.693068724	1	< 0.1%
0.7128511548	1	< 0.1%
0.6385804647	1	< 0.1%
0.7317937425	1	< 0.1%
Other values (17898)	17898	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.3536614403	1	< 0.1%
0.359550784	1	< 0.1%
0.3965603783	1	< 0.1%
0.4421952787	1	< 0.1%
0.4470701412	1	< 0.1%
0.4538168017	1	< 0.1%
0.4577382657	1	< 0.1%
0.4654677472	1	< 0.1%
0.46827771	1	< 0.1%
0.469287172	1	< 0.1%

Value	Count	Frequency (%)
0.9252519032	1	< 0.1%
0.9184164848	1	< 0.1%
0.9166059018	1	< 0.1%
0.9147883762	1	< 0.1%
0.9113536712	1	< 0.1%
0.9096834637	1	< 0.1%
0.9085165407	1	< 0.1%
0.9072543082	1	< 0.1%
0.9072136758	1	< 0.1%
0.906546489	1	< 0.1%

avg_ext_quality_score
Real number (ℝ)

Distinct	17530
Distinct (%)	97.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.62259032

Minimum	0.022057
Maximum	0.966953
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	140.0 KiB

Quantile statistics

Minimum	0.022057
5-th percentile	0.4339191
Q1	0.5477245
median	0.627009
Q3	0.70268925
95-th percentile	0.80433
Maximum	0.966953
Range	0.944896
Interquartile range (IQR)	0.15496475

Descriptive statistics

Standard deviation	0.11528366
Coefficient of variation (CV)	0.18516777
Kurtosis	0.46789529
Mean	0.62259032
Median Absolute Deviation (MAD)	0.077441
Skewness	-0.33046772
Sum	11149.348
Variance	0.013290323
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.613834	3	< 0.1%
0.530815	3	< 0.1%
0.700858	3	< 0.1%
0.549308	3	< 0.1%
0.636598	3	< 0.1%
0.25358	3	< 0.1%
0.480815	3	< 0.1%
0.750858	3	< 0.1%
0.51439	3	< 0.1%
0.676599	3	< 0.1%
Other values (17520)	17878	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.022057	1	< 0.1%
0.056622	1	< 0.1%
0.060184	1	< 0.1%
0.067339	1	< 0.1%
0.075976	1	< 0.1%
0.095458	1	< 0.1%
0.095564	1	< 0.1%
0.10358	2	< 0.1%
0.105403	1	< 0.1%
0.107534	1	< 0.1%

Value	Count	Frequency (%)
0.966953	1	< 0.1%
0.963647	1	< 0.1%
0.949883	1	< 0.1%
0.947836	1	< 0.1%
0.942336	1	< 0.1%
0.934158	1	< 0.1%
0.927269	1	< 0.1%
0.922813	1	< 0.1%
0.922073	1	< 0.1%
0.921789	1	< 0.1%

e_signed
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	140.0 KiB

1	9639
0	8269

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	17908
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	9639	53.8%
0	8269	46.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	9639	53.8%
0	8269	46.2%

Most occurring characters

Value	Count	Frequency (%)
1	9639	53.8%
0	8269	46.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17908	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	9639	53.8%
0	8269	46.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	17908	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	9639	53.8%
0	8269	46.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17908	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	9639	53.8%
0	8269	46.2%

Auto

Heatmap
Table

	entry_id	age	monthly_income	years_employed	current_address_year	amount_requested	risk_score	inquiries_last_month	personal_account_months	avg_risk_score	avg_ext_quality_score	pay_schedule	home_owner	has_debt	e_signed
entry_id	1.000	0.005	-0.012	-0.004	0.000	-0.004	0.007	-0.005	-0.007	0.009	0.008	0.019	0.007	0.007	0.014
age	0.005	1.000	0.187	0.188	0.145	0.088	0.155	0.031	0.039	0.092	0.055	0.111	0.144	0.066	0.094
monthly_income	-0.012	0.187	1.000	0.128	0.058	0.250	0.156	0.055	0.009	0.009	0.006	0.052	0.152	0.050	0.065
years_employed	-0.004	0.188	0.128	1.000	0.353	0.080	0.089	0.016	0.158	-0.015	0.037	0.038	0.033	0.054	0.025
current_address_year	0.000	0.145	0.058	0.353	1.000	0.064	0.074	0.022	0.138	-0.107	0.025	0.017	0.191	0.023	0.009
amount_requested	-0.004	0.088	0.250	0.080	0.064	1.000	0.328	-0.020	0.038	0.061	0.019	0.054	0.075	0.038	0.171
risk_score	0.007	0.155	0.156	0.089	0.074	0.328	1.000	-0.235	0.005	0.197	0.148	0.033	0.137	0.023	0.091
inquiries_last_month	-0.005	0.031	0.055	0.016	0.022	-0.020	-0.235	1.000	0.009	-0.066	-0.067	0.042	0.018	0.015	0.035
personal_account_months	-0.007	0.039	0.009	0.158	0.138	0.038	0.005	0.009	1.000	0.033	0.031	0.023	0.078	0.182	0.092
avg_risk_score	0.009	0.092	0.009	-0.015	-0.107	0.061	0.197	-0.066	0.033	1.000	0.406	0.137	0.087	0.000	0.000
avg_ext_quality_score	0.008	0.055	0.006	0.037	0.025	0.019	0.148	-0.067	0.031	0.406	1.000	0.023	0.059	0.026	0.039
pay_schedule	0.019	0.111	0.052	0.038	0.017	0.054	0.033	0.042	0.023	0.137	0.023	1.000	0.046	0.089	0.033
home_owner	0.007	0.144	0.152	0.033	0.191	0.075	0.137	0.018	0.078	0.087	0.059	0.046	1.000	0.076	0.047
has_debt	0.007	0.066	0.050	0.054	0.023	0.038	0.023	0.015	0.182	0.000	0.026	0.089	0.076	1.000	0.038
e_signed	0.014	0.094	0.065	0.025	0.009	0.171	0.091	0.035	0.092	0.000	0.039	0.033	0.047	0.038	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	entry_id	age	monthly_income	years_employed	current_address_year	amount_requested	risk_score	inquiries_last_month	pay_schedule	home_owner	has_debt	personal_account_months	avg_risk_score	avg_ext_quality_score	e_signed
0	7629673	40	3135	3	3	550	36200	10	bi-weekly	1	1	30	0.661151	0.480918	1
1	3560428	61	3180	6	3	600	30150	9	weekly	0	1	86	0.789841	0.680720	0
2	6934997	23	1540	0	0	450	34550	7	weekly	0	1	19	0.691712	0.531712	0
3	5682812	40	5230	6	1	700	42150	8	bi-weekly	0	1	86	0.793179	0.692552	1
4	5335819	33	3590	5	2	1100	53850	12	semi-monthly	0	1	98	0.688483	0.744634	0
5	8492423	21	2303	5	8	600	74850	6	weekly	0	1	86	0.649061	0.542556	1
6	7948313	26	2795	4	4	800	50800	14	bi-weekly	0	1	73	0.744522	0.634130	1
7	4297036	43	5000	2	1	1100	69100	5	bi-weekly	0	1	25	0.652702	0.625905	1
8	6493191	32	5260	0	3	1150	64050	3	semi-monthly	0	1	49	0.652266	0.469459	1
9	8908605	51	3055	6	11	600	59750	5	bi-weekly	1	1	28	0.713193	0.758607	1

	entry_id	age	monthly_income	years_employed	current_address_year	amount_requested	risk_score	inquiries_last_month	pay_schedule	home_owner	has_debt	personal_account_months	avg_risk_score	avg_ext_quality_score	e_signed
17898	2150976	39	5215	5	2	600	38200	5	bi-weekly	1	1	41	0.680127	0.716175	0
17899	6799343	37	3265	4	1	1200	67950	2	bi-weekly	0	1	29	0.756019	0.481665	1
17900	7100872	31	3015	2	1	450	42450	6	weekly	0	0	26	0.758422	0.616399	1
17901	1807355	44	5025	2	3	500	54500	9	bi-weekly	0	1	42	0.714672	0.534913	0
17902	3983229	54	2620	2	1	600	55450	6	bi-weekly	0	1	28	0.711169	0.629557	0
17903	9949728	31	3245	5	3	700	71700	2	monthly	0	1	74	0.780361	0.677705	0
17904	9442442	46	6525	2	1	800	51800	3	bi-weekly	0	1	39	0.790830	0.624918	0
17905	9857590	46	2685	5	1	1200	59650	9	weekly	0	1	97	0.805799	0.572045	0
17906	8708471	42	2515	3	5	400	80200	3	bi-weekly	0	1	18	0.667924	0.406568	1
17907	1498559	29	2665	4	10	600	64950	4	weekly	1	1	16	0.683111	0.846163	1

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Missing values

Sample